{"id":"https://openalex.org/W2929906481","doi":"https://doi.org/10.1109/access.2019.2908720","title":"Wavelet Deep Neural Network for Stripe Noise Removal","display_name":"Wavelet Deep Neural Network for Stripe Noise Removal","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2929906481","doi":"https://doi.org/10.1109/access.2019.2908720","mag":"2929906481"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2908720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678750.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678750.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041599593","display_name":"Juntao Guan","orcid":"https://orcid.org/0000-0002-1640-6799"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juntao Guan","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an, China","Department of Microelectronics, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1640-6799","affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051316537","display_name":"Rui Lai","orcid":"https://orcid.org/0000-0002-8458-6429"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Lai","raw_affiliation_strings":["Department of Microelectronics, Xidian University, Xi\u2019an, China","Department of Microelectronics, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8458-6429","affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Department of Microelectronics, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045638113","display_name":"Ai Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai Xiong","raw_affiliation_strings":["School of Control Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041599593"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":97.418,"has_fulltext":true,"cited_by_count":128,"citation_normalized_percentile":{"value":0.99892055,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"44544","last_page":"44554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8145422339439392},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7061771154403687},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6780888438224792},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.596774697303772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5934877991676331},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5613601803779602},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.46717554330825806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4208722412586212},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42077183723449707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40953901410102844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36013472080230713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2703513503074646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09554752707481384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145422339439392},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7061771154403687},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6780888438224792},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.596774697303772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5934877991676331},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5613601803779602},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.46717554330825806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4208722412586212},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42077183723449707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40953901410102844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36013472080230713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2703513503074646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09554752707481384},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2908720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678750.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41227e98f76149d5b5a35f5b028c1447","is_oa":true,"landing_page_url":"https://doaj.org/article/41227e98f76149d5b5a35f5b028c1447","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 44544-44554 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2908720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08678750.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G2970948799","display_name":null,"funder_award_id":"61672131","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5863951253","display_name":null,"funder_award_id":"61674120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6411212857","display_name":null,"funder_award_id":"U1709218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6538997798","display_name":null,"funder_award_id":"61672131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6839282591","display_name":null,"funder_award_id":"300102328110","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7843701004","display_name":null,"funder_award_id":"61571338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8117968730","display_name":null,"funder_award_id":"JBG161113","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2929906481.pdf","grobid_xml":"https://content.openalex.org/works/W2929906481.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W787382797","https://openalex.org/W1522301498","https://openalex.org/W1561840468","https://openalex.org/W1686810756","https://openalex.org/W1833923216","https://openalex.org/W2030796584","https://openalex.org/W2095581705","https://openalex.org/W2103559027","https://openalex.org/W2106002835","https://openalex.org/W2117881455","https://openalex.org/W2125188192","https://openalex.org/W2125527601","https://openalex.org/W2133665775","https://openalex.org/W2137577808","https://openalex.org/W2158821123","https://openalex.org/W2242218935","https://openalex.org/W2257362867","https://openalex.org/W2284600700","https://openalex.org/W2305467284","https://openalex.org/W2326587421","https://openalex.org/W2478161948","https://openalex.org/W2508457857","https://openalex.org/W2515271729","https://openalex.org/W2542870090","https://openalex.org/W2582066527","https://openalex.org/W2615331742","https://openalex.org/W2734118241","https://openalex.org/W2776107444","https://openalex.org/W2791713424","https://openalex.org/W2792416626","https://openalex.org/W2800278510","https://openalex.org/W2800379558","https://openalex.org/W2803061281","https://openalex.org/W2804659757","https://openalex.org/W2883181864","https://openalex.org/W2895717704","https://openalex.org/W2904195252","https://openalex.org/W2918347797","https://openalex.org/W2962935835","https://openalex.org/W2963163009","https://openalex.org/W2963470893","https://openalex.org/W3139939952","https://openalex.org/W6638907289","https://openalex.org/W6680683657","https://openalex.org/W6749781174"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W2382174632","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W2149537132","https://openalex.org/W2077021924"],"abstract_inverted_index":{"The":[0,13,116],"stripe":[1,66,106],"noise":[2,21,67,85,107],"effects":[3],"severely":[4],"degrade":[5],"the":[6,50,62,72,84,87,102,112],"image":[7],"quality":[8],"in":[9,32,57],"infrared":[10],"imaging":[11,34],"systems.":[12],"existing":[14],"destriping":[15,132],"algorithms":[16],"still":[17],"struggle":[18],"to":[19,81,100],"balance":[20],"suppression,":[22],"detail":[23],"preservation,":[24],"and":[25,35,68,110,121,137],"real-time":[26],"performance,":[27],"which":[28,60],"retards":[29],"their":[30],"application":[31],"spectral":[33],"signal":[36],"processing":[37],"field.":[38],"To":[39],"solve":[40],"this":[41,58],"problem,":[42],"an":[43],"innovative":[44],"wavelet":[45,76],"deep":[46],"neural":[47],"network":[48],"from":[49,105],"perspective":[51],"of":[52,65,74],"transform":[53],"domain":[54],"is":[55,97],"presented":[56],"paper,":[59],"takes":[61],"intrinsic":[63],"characteristics":[64],"complementary":[69],"information":[70],"between":[71],"coefficients":[73],"different":[75],"sub-bands":[77],"into":[78],"full":[79],"consideration":[80],"accurately":[82],"estimate":[83],"with":[86],"lower":[88],"computational":[89],"load.":[90],"In":[91],"addition,":[92],"a":[93],"special":[94],"directional":[95],"regularizer":[96],"further":[98],"defined":[99],"separate":[101],"scene":[103],"details":[104,113],"more":[108,114],"thoroughly":[109],"recover":[111],"accurately.":[115],"extensive":[117],"experiments":[118],"on":[119,134],"simulated":[120],"real":[122],"data":[123],"demonstrate":[124],"that":[125],"our":[126],"proposed":[127],"method":[128],"outperforms":[129],"several":[130],"classical":[131],"methods":[133],"both":[135],"quantitative":[136],"qualitative":[138],"assessments.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}